{"id":"W4391776540","doi":"10.2139/ssrn.4695696","title":"Survey of Information Commissioners’ Approaches to Access Regime Evaluation","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Political Influence and Corporate Strategies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Business; Internet privacy; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09790681,0.0002447919,0.0005555176,0.008578994,0.005147322,0.008494985,0.001390809,0.003084554,0.005112483],"category_scores_gemma":[0.3183706,0.0008751954,0.0005360538,0.008245642,0.0032263,0.003922568,0.003558222,0.003515739,0.001215617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008667177,"about_ca_system_score_gemma":0.01235829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01627068,"about_ca_topic_score_gemma":0.01809941,"domain_scores_codex":[0.9027527,0.05535218,0.00879183,0.004006009,0.02143043,0.007666853],"domain_scores_gemma":[0.4451973,0.3966912,0.05369242,0.02322602,0.06816496,0.01302813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001089921,0.001140608,0.5934199,0.0007453391,0.0002042992,0.0006208154,0.125956,0.0009113293,0.002512913,0.02059348,0.02548901,0.2273163],"study_design_scores_gemma":[0.0001479329,0.000919816,0.7500944,0.000943162,0.0001168707,0.000701077,0.08156493,0.001780893,0.002453735,0.001884198,0.1591698,0.0002230552],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9551917,0.00192535,0.001483852,0.007681722,0.000106295,0.0003407326,0.0003695815,0.0000668521,0.03283403],"genre_scores_gemma":[0.9927663,0.0008352139,0.001407973,0.001734447,0.00008300268,0.0001528542,0.0002083291,0.00003169363,0.002780321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09790681,"threshold_uncertainty_score":0.5177869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1569295666176013,"score_gpt":0.3141860665054402,"score_spread":0.1572564998878389,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}